Learning in the Age of AI: How Will AI Reshape the L&D Function in 2025?

reate personalized learning paths. Eric Legalli explained that AI can offer real-time feedback and interventions, which are essential for maintaining student engagement and preventing dropouts. This approach not only personalizes the learning experience but also ensures that learners are consistently supported throughout their education.

Engagement and Retention in Online Learning

Engagement remains a significant challenge in L&D, with learners often distracted by work and personal commitments. Chris Skies highlighted that meeting learners where they are is important, suggesting the integration of learning opportunities directly into the workflow. This method ensures that learning is relevant and timely, improving engagement. Eric Legalli added that predictive analytics and decision intelligence could be used to anticipate when learners might disengage, allowing for proactive interventions. Amanda Bickerstaff reinforced the idea that learning tied to real-world applications or immediate work tasks tends to increase learner commitment and focus.

Trends in AI and Data Science Education

Expanding educational programs requires strategic planning and effective change management. Eric Legalli noted that successful expansion often depends on executive sponsorship and a clear understanding of the organizational goals. Chris Skies suggested a product management approach, involving piloting programs on a small scale to test hypotheses before wider implementation. This iterative process allows for adjustments based on feedback and ensures that the program is effective and scalable. Change management models can offer frameworks for ensuring that all stakeholders are aligned and supportive of the expansion efforts.

AI Literacy in Education

AI literacy is emerging as an essential skill across various sectors. Amanda Bickerstaff stressed the importance of training individuals to use AI safely, ethically, and effectively. This training is not only necessary for productivity but also for ensuring that AI is used responsibly. The panelists agreed that organizations should prioritize AI literacy programs to prepare their workforce for the growing integration of AI in various roles. The development of AI competencies, including critical thinking and problem-solving, is essential for leveraging AI's full potential while mitigating risks associated with its misuse.